Use Case: AI Course of Action Generation and Analysis

Mission and operations planners often face challenges due to fragmented and unstructured data spread across multiple systems, which hampers efficient decision-making and the generation of potential courses of action (COAs). Unstructured provides a solution by creating a data layer that ingests text, imagery, and telemetry data, maintaining context, semantic relationships, and metadata lineage for explainable, accurate GenAI reasoning. This enables AI systems to access and integrate diverse inputs confidently, supporting the retrieval of relevant context through standards like the Model Context Protocol (MCP). As a result, planners and analysts gain real-time access to trustworthy insights, improving coordination among intelligence, operations, and logistics functions. Unstructured offers secure deployment options and ensures data lifecycle transparency with robust metadata management and access controls. By enhancing the speed and accuracy of COA generation, the system delivers a decision-making advantage grounded in structured evidence, ensuring faster, defensible decisions in critical conditions.